activity
20222026
most citedPlug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

13 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Color-Encoded Illumination for High-Speed Volumetric Scene Reconstruction

David Novikov, Eilon Vaknin, Narek Tumanyan +1

The task of capturing and rendering 3D dynamic scenes from 2D images has become increasingly popular in recent years. However, most conventional cameras are bandwidth-limited to 30…

cs.CV2026

DRoPS: Dynamic 3D Reconstruction of Pre-Scanned Objects

Narek Tumanyan, Samuel Rota Bulò, Denis Rozumny +5

Dynamic scene reconstruction from casual videos has seen recent remarkable progress. Numerous approaches have attempted to overcome the ill-posedness of the task by distilling prio…

cs.CV20235 cited

Disentangling Structure and Appearance in ViT Feature Space

Narek Tumanyan, Omer Bar-Tal, Shir Amir +2

We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source…

cs.CV202213 cited

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Narek Tumanyan, Michal Geyer, Shai Bagon +1

Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, allowing us to synthesize diverse images that convey highly co…

cs.CV20227 cited

Splicing ViT Features for Semantic Appearance Transfer

Narek Tumanyan, Omer Bar-Tal, Shai Bagon +1

We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source…